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Causal Inference

Causal inference is the task of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

( Image credit: Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1391–1400 of 1722 papers

Title	Date	Tasks	Status	Hype
Ensemble Learning with Statistical and Structural Models	Jun 7, 2020	Causal InferenceEnsemble Learning	—Unverified	0
Identifying Causal Structure in Dynamical Systems	Jun 6, 2020	Causal IdentificationCausal Inference	CodeCode Available	0
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains	Jun 3, 2020	Autonomous DrivingCausal Inference	—Unverified	0
Causal Bayesian Optimization	May 24, 2020	Bayesian OptimizationCausal Inference	—Unverified	0
Studying Product Competition Using Representation Learning	May 21, 2020	Causal InferenceDecision Making	—Unverified	0
Principal Fairness for Human and Algorithmic Decision-Making	May 21, 2020	Causal Inferencecounterfactual	—Unverified	0
On the power of conditional independence testing under model-X	May 12, 2020	Causal InferenceLEMMA	CodeCode Available	0
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation	May 11, 2020	Causal Inferencecounterfactual	—Unverified	0
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles	May 1, 2020	Causal DiscoveryCausal Inference	—Unverified	0
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates	May 1, 2020	Causal Inference	—Unverified	0

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All datasets IHDP Jobs IDHP

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Random Forest	Average Treatment Effect Error	0.96	—	Unverified
2	Balancing Linear Regression	Average Treatment Effect Error	0.93	—	Unverified
3	k-NN	Average Treatment Effect Error	0.79	—	Unverified
4	CEVAE	Average Treatment Effect Error	0.46	—	Unverified
5	Balancing Neural Network	Average Treatment Effect Error	0.42	—	Unverified
6	Causal Forest	Average Treatment Effect Error	0.4	—	Unverified
7	BCAUS DR	Average Treatment Effect Error	0.29	—	Unverified
8	TARNet	Average Treatment Effect Error	0.28	—	Unverified
9	Counterfactual Regression + WASS	Average Treatment Effect Error	0.27	—	Unverified
10	MTDL-KNN	Average Treatment Effect Error	0.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CFR WASS	Average Treatment Effect on the Treated Error	0.09	—	Unverified
2	CFR MMD	Average Treatment Effect on the Treated Error	0.08	—	Unverified
3	BART	Average Treatment Effect on the Treated Error	0.08	—	Unverified
4	GANITE	Average Treatment Effect on the Treated Error	0.06	—	Unverified
5	BCAUSS	Average Treatment Effect on the Treated Error	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART	Average Treatment Effect Error	0.34	—	Unverified
2	OLS with separate regressors for each treatment	Average Treatment Effect Error	0.31	—	Unverified
3		Average Treatment Effect Error	-0.23	—	Unverified